Abstract: Provided is a device performing machine learning by extracting an acoustic feature value from conversational voice data and predicting a disease level of a subject on the basis of a disease prediction model to be generated by the machine learning, the device including: a matrix calculation unit 23 calculating a spatial delay matrix using a relation value of a plurality of types of acoustic feature values; and a matrix decomposition unit 24 calculating a matrix decomposition value from the spatial delay matrix, in which a relation value reflecting a non-linear and non-stationary relationship of the feature values can be obtained by calculating at least one of a DCCA coefficient and a mutual information amount as the relation value of the plurality of types of acoustic feature values, and the disease level of the subject can be predicted on the basis of the relation value.

Abstract: A method includes receiving a sequence of input samples that represents a row of pixels in an image. The method further includes selecting a re-scaling factor for at least a portion of the row of pixels. The method further includes determining a phase offset based on the selected re-scaling factor, and applying a direct B-spline transform to a group of the samples to generate transform coefficients. The method further includes providing the transform coefficients as an input to a filter bank, and applying the phase offset at an output of the filter bank to generate a sequence of output samples.

Abstract: A method includes receiving a sequence of input samples that represents a row of pixels in an image. The method further includes selecting a re-scaling factor for at least a portion of the row of pixels. The method further includes determining a phase offset based on the selected re-scaling factor, and applying a direct B-spline transform to a group of the samples to generate transform coefficients. The method further includes providing the transform coefficients as an input to a filter bank, and applying the phase offset at an output of the filter bank to generate a sequence of output samples.